key4hep / key4hep/k4MLJetTagger
Improve primary vertex fit -> improve jet tagger
- Dominant language
- Jupyter Notebook
- Stars
- 1
- Forks
- 5
- PR merge metrics
- No merged PRs in 30d
Description
[Primary_Vertex_Fitting.pdf](https://github.com/user-attachments/files/19910480/Primary_Vertex_Fitting.pdf)
Once the PV fit issue (see https://github.com/key4hep/CLDConfig/issues/61) is fixed, retrain the model. It will most likely improve the performance especially for light tagging or against-light tagging.
Documentation on the issue attached as a pdf.
Contributor guide
Research direction
Start by reading the attached Primary_Vertex_Fitting.pdf and the linked CLDConfig issue #61 to understand the prerequisite primary-vertex fit change. Then locate the model training entry point in k4MLJetTagger and determine how retraining is performed. Done means retraining after the PV fix and evaluating whether light-tagging or against-light-tagging performance improves.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, machine-learning
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100